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Poster
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Thu 21:00
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
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Spotlight
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Thu 19:25
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
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Spotlight
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Thu 17:35
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Large-Scale Meta-Learning with Continual Trajectory Shifting
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
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Poster
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Thu 21:00
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Large-Scale Meta-Learning with Continual Trajectory Shifting
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
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Poster
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Thu 9:00
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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
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Spotlight
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Thu 5:25
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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
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Spotlight
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Thu 6:25
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PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang · Gautam Kamath · Rachel Cummings
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Poster
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Thu 9:00
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PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang · Gautam Kamath · Rachel Cummings
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Spotlight
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Wed 5:25
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Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang · Yilin Zheng · Jean Honorio
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Poster
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Wed 9:00
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Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang · Yilin Zheng · Jean Honorio
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Spotlight
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Thu 7:40
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Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
Raghav Singal · George Michailidis · Hoiyi Ng
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Poster
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Thu 9:00
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Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
Raghav Singal · George Michailidis · Hoiyi Ng
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